Senior DevOps Engineer

About the Role We're looking for a Senior DevOps Engineer to own our cloud infrastructure end-to-end — from operating a large multi-tenant Kubernetes environment to building CI/CD pipelines that teams actually trust. You'll work across AWS, drive infrastructure-as-code standards, and lead our migration toward GitLab CI and a Grafana-based observability stack while keeping production environments stable. What You'll Do Operate and scale a multi-tenant AWS EKS cluster where each client runs an isolated set of application services — owning tooling to onboard, scale, and observe hundreds of service instances reliably Build and improve CI/CD pipelines in GitLab CI and GitHub Actions with automated testing, static analysis, and build-gated releases; maintain ArgoCD GitOps workflows for production deployments Lead the migration from Datadog to a self-managed Grafana observability stack (Grafana, Loki, Mimir/Prometheus, Tempo) — dashboards, SLOs, alert routing, and on-call integration Manage secrets, IAM, and security scanning pipelines using AWS KMS, Secrets Manager, external-secrets operator, and Auth0/Dex OIDC — enforcing least-privilege across all environments Own and evolve the Redpanda (Kafka-compatible) streaming layer and its integrations with application workers Drive cloud cost optimization through right-sizing, autoscaling, and shared infrastructure patterns on EKS Document infrastructure with automated tooling (terraform-docs) and maintain standards that scale across teams Automate operational toil — certificate renewal, clinic environment provisioning, deployment validation, runbook automation What We're Looking For Required 5+ years in DevOps or infrastructure engineering 3+ years operating Kubernetes in production — AWS EKS preferred — including CSI drivers, cluster autoscaling, network policy (Calico), and pod identity 3+ years hands-on with AWS core services (IAM, S3, KMS, Secrets Manager, STS, EKS, Load Balancer Controller, ECR) Strong Terraform experience; GitOps experience with ArgoCD or Flux Hands-on experience with GitLab CI and/or GitHub Actions Scripting proficiency in Python and Bash Experience with IAM design and security best practices (SAST/DAST, secret scanning, OIDC federation) Familiarity with streaming or message-queue infrastructure (Redpanda, Kafka, or equivalent) Nice to Have Experience migrating from a SaaS observability tool (Datadog, New Relic) to a self-hosted Grafana stack Grafana stack depth — Loki for logs, Mimir or Thanos for metrics, Tempo for traces, Alertmanager for routing Experience with Redpanda specifically, or deep Kafka operations knowledge Background in multi-tenant SaaS platforms or per-customer service isolation patterns AWS certification Familiarity with chaos engineering tooling (chaos-mesh or LitmusChaos) Background in software engineering or scripting-heavy roles Tech Stack Current production: AWS (EKS, S3, KMS, Secrets Manager, STS, Load Balancer)

• Terraform
• GitHub Actions
• ArgoCD
• Kubernetes
• Traefik
• Coraza WAF
• Redis HA
• MongoDB
• Auth0
• Dex
• external-secrets
• Datadog
• Docker
• Python
• Bash
• Linux Where we're going: GitLab CI
• Redpanda
• Grafana
• Loki
• Prometheus/Mimir
• Tempo
• Alertmanager Platform components you'll operate: ArgoCD
• Traefik
• Coraza WAF
• Auth0
• Dex
• Redis HA
• MongoDB
• API servers
• client-facing portals
• internal tooling Why Join Us Own infrastructure across a real multi-tenant platform serving production clinic environments Lead the observability and streaming migrations — greenfield decisions with lasting impact Collaborative engineering culture with high trust and low bureaucracy Competitive salary, benefits, and flexible work arrangements